Project Structure

├── Digit Recognizer 
│   ├── README.md  
│   ├── Dictionary save and load
│   │   ├── dictionary_learning_model_64.pkl  
│   │   ├── load the model n.ipynb  
│   │   ├── model n Dictionary Learning.ipynb  
│   ├── Math for ML
│   │   ├── SVD
│   │   ├── 🚀Linear Algebra Score 82%.ipynb  
│   │   ├── 🤖Neural network 4layer 3Activation Score 89%.ipynb
│   ├── Sklearn standard model 
│   │   ├── 🔪SVC Score 95%.ipynb  
│   │   ├── 🧩Logistic Regression Score 91%.ipynb  
├── Titanic
│   ├── README.md  
│   ├── Titanic EDA slide.ipynb  
│   ├── Titanic EDA slide.slides.html  

Description

Digit Recognizer

A project for digit recognition.

• Dictionary save and load/ – Training a Dictionary Learning model, saving, and loading it.
• individual model/ – 2 approaches without libraries for ML.
• Sklearn standard model/ – Standard approach using Scikit-Learn. SVC and Logistic Regression.

Titanic

• Experimenting with Jupyter Slideshow presentations